Introduction to Deep Learning and Neural Networks with Python™ : A Practical Guide
Book Details
Format
Paperback / Softback
ISBN-10
0323909337
ISBN-13
9780323909334
Publisher
Elsevier Science & Technology
Imprint
Academic Press Inc
Country of Manufacture
NL
Country of Publication
GB
Publication Date
Nov 26th, 2020
Print length
300 Pages
Weight
482 grams
Dimensions
15.30 x 22.90 x 2.00 cms
Product Classification:
PhysiologyScience: general issuesNeurosciences
Ksh 20,700.00
Werezi Extended Catalogue
Delivery in 28 days
Delivery Location
Delivery fee: Select location
Delivery in 28 days
Secure
Quality
Fast
Introduction to Deep Learning and Neural Networks with Python™: A Practical Guide is an intensive step-by-step guide for neuroscientists to fully understand, practice, and build neural networks. Providing math and Python™ code examples to clarify neural network calculations, by book’s end readers will fully understand how neural networks work starting from the simplest model Y=X and building from scratch. Details and explanations are provided on how a generic gradient descent algorithm works based on mathematical and Python™ examples, teaching you how to use the gradient descent algorithm to manually perform all calculations in both the forward and backward passes of training a neural network.
Get Introduction to Deep Learning and Neural Networks with Python™ by at the best price and quality guaranteed only at Werezi Africa's largest book ecommerce store. The book was published by Elsevier Science & Technology and it has pages.
